Flask Blog App
Full Flask app — auth, posts, comments. Deployed live.
Class 9 is the last quiet year before boards. Our 1 hour live classes use the window for depth — CBSE Code 402, Flask, Django intro, sklearn with real Kaggle datasets, and DSA.
At Class 9, the right tracks build for college — Flask, Django, sklearn, DSA.
Zero to confident — functions, OOP, files, real mini-apps. The backbone track.
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Pandas, sklearn, neural nets — real AI projects with datasets.
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Arrays, trees, graphs, DP — solved in Python. Interview foundation.
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Build REST APIs with Flask — auth, databases, Postman tests.
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Pandas, NumPy, matplotlib, sklearn — the end-to-end data toolkit.
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Selenium, scripts, AI APIs — automate the boring stuff using Python.
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LLMs, prompt engineering, embeddings — build with the AI stack of 2026.
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Deep learning, CV, NLP — college-level ML with projects.
View course →If your Class 9 student has real Python repos, skip ahead to AI & ML or Data Science. Demo teacher places them.
Looking for more? Browse the full courses catalogue →
Class 10 brings boards. Class 11 brings streams. Class 9 has room for deep projects.
Class 9 still has calendar room. Class 10 onwards, timing is the constraint.
At 14, recursion stops being magic. Big-O makes sense. The foundations for college CS.
If your school offers Code 402 (IT / AI sub-code), it contains a Python unit. Our teachers align.
Portfolio-ready. Finishable in a month.
Full Flask app — auth, posts, comments. Deployed live.
First Django project — admin, models, views, templates.
Full pipeline — EDA, feature engineering, sklearn, evaluation, writeup.
Arrays, strings, linked lists in Python.
BeautifulSoup + requests to scrape a simple news site.
Jupyter notebook with 5 charts on a chosen dataset.
Deep projects, board-aware pacing.
Full Flask app — login, SQLite, CRUD. Deployed to Render.
Kaggle dataset end-to-end. Proper data-science workflow.
Django basics — admin, models, views.
DSA in Python. 15 foundational problems. Solid base for Class 10.
Same curriculum. Same teachers. Same recordings. The difference is whether your child learns best with one teacher's full attention, or alongside 4 to 6 classmates at their level.
One teacher, one learner, the full 1 hour. The teacher adapts pace in real time — slowing down on tricky concepts, speeding up where your child is already fluent. Best for focused learners, specific exam prep, or fastest progress.
4 to 6 students at a similar level, one teacher, 1 hour per session. Learners move faster when they see peers solve problems in different ways. Supportive, never pressured. Best if your child enjoys learning with others.
Clear ladder.
| What to expect | Class 8 | Class 9 (this page) | Class 10 |
|---|---|---|---|
| Web framework | Flask basics | Flask + Django intro | Flask + Django production |
| ML | Kaggle regression | Full pipeline | ML + light DL |
| DSA | First problems | Arrays + strings | LeetCode easy 50 |
| DB | Files | SQLite | SQL + ORM |
| Deploy | Local | Render | Multiple deployments |
| School | Class 8 CS | Class 9 CS / Code 402 | Class 10 board |
Three recent reviews.
Class 9 CBSE. Son built a Flask blog with login and deployed it. Aunts abroad visit his link. At 14 he explains POST requests at dinner.
Group of 3 Class 9 Python teens. Teacher runs weekly code reviews. My son had to accept feedback gracefully — that is valuable.
We moved from YouTube-only. Teacher here is tough but kind. Daughter's code now has docstrings, type hints and tests. At 14.
Short, plain answers. If your question isn't here, tap the callback button at the top and a human will get back to you the same day.
Fill the form. Our counsellor calls you within 3 hours, understands your child's pace, and schedules a real demo with a real teacher. No card, no commitment.